Overview

Dataset statistics

Number of variables37
Number of observations4424
Missing cells13272
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory296.0 B

Variable types

Numeric26
Unsupported3
Categorical8

Alerts

Educational special needs is highly imbalanced (90.9%)Imbalance
International is highly imbalanced (83.2%)Imbalance
Daytime/evening attendance has 4424 (100.0%) missing valuesMissing
Previous qualification (grade) has 4424 (100.0%) missing valuesMissing
Admission grade has 4424 (100.0%) missing valuesMissing
Daytime/evening attendance is an unsupported type, check if it needs cleaning or further analysisUnsupported
Previous qualification (grade) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Admission grade is an unsupported type, check if it needs cleaning or further analysisUnsupported
Curricular units 1st sem (credited) has 3847 (87.0%) zerosZeros
Curricular units 1st sem (enrolled) has 180 (4.1%) zerosZeros
Curricular units 1st sem (evaluations) has 349 (7.9%) zerosZeros
Curricular units 1st sem (approved) has 718 (16.2%) zerosZeros
Curricular units 1st sem (grade) has 718 (16.2%) zerosZeros
Curricular units 1st sem (without evaluations) has 4130 (93.4%) zerosZeros
Curricular units 2nd sem (credited) has 3894 (88.0%) zerosZeros
Curricular units 2nd sem (enrolled) has 180 (4.1%) zerosZeros
Curricular units 2nd sem (evaluations) has 401 (9.1%) zerosZeros
Curricular units 2nd sem (approved) has 870 (19.7%) zerosZeros
Curricular units 2nd sem (grade) has 870 (19.7%) zerosZeros
Curricular units 2nd sem (without evaluations) has 4142 (93.6%) zerosZeros

Reproduction

Analysis started2024-07-15 11:35:08.078652
Analysis finished2024-07-15 11:42:06.643326
Duration6 minutes and 58.56 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Marital status
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1785714
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:07.397833image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60574695
Coefficient of variation (CV)0.51396711
Kurtosis21.482639
Mean1.1785714
Median Absolute Deviation (MAD)0
Skewness4.3997643
Sum5214
Variance0.36692936
MonotonicityNot monotonic
2024-07-15T08:42:09.106225image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3919
88.6%
2 379
 
8.6%
4 91
 
2.1%
5 25
 
0.6%
6 6
 
0.1%
3 4
 
0.1%
ValueCountFrequency (%)
1 3919
88.6%
2 379
 
8.6%
3 4
 
0.1%
4 91
 
2.1%
5 25
 
0.6%
6 6
 
0.1%
ValueCountFrequency (%)
6 6
 
0.1%
5 25
 
0.6%
4 91
 
2.1%
3 4
 
0.1%
2 379
 
8.6%
1 3919
88.6%

Application mode
Real number (ℝ)

Distinct18
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8869801
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:09.747361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median8
Q312
95-th percentile15
Maximum18
Range17
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.2989637
Coefficient of variation (CV)0.7694176
Kurtosis-1.5018024
Mean6.8869801
Median Absolute Deviation (MAD)6
Skewness0.12169577
Sum30468
Variance28.079017
MonotonicityNot monotonic
2024-07-15T08:42:10.951114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 1708
38.6%
8 872
19.7%
12 785
17.7%
14 312
 
7.1%
15 213
 
4.8%
4 139
 
3.1%
9 124
 
2.8%
13 77
 
1.7%
16 59
 
1.3%
7 38
 
0.9%
Other values (8) 97
 
2.2%
ValueCountFrequency (%)
1 1708
38.6%
2 3
 
0.1%
3 16
 
0.4%
4 139
 
3.1%
5 10
 
0.2%
6 30
 
0.7%
7 38
 
0.9%
8 872
19.7%
9 124
 
2.8%
10 1
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 35
 
0.8%
16 59
 
1.3%
15 213
 
4.8%
14 312
 
7.1%
13 77
 
1.7%
12 785
17.7%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 124
 
2.8%

Application order
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7278481
Minimum0
Maximum9
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:11.549414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3137931
Coefficient of variation (CV)0.76036376
Kurtosis2.6512887
Mean1.7278481
Median Absolute Deviation (MAD)0
Skewness1.88105
Sum7644
Variance1.7260523
MonotonicityNot monotonic
2024-07-15T08:42:12.124910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 3026
68.4%
2 547
 
12.4%
3 309
 
7.0%
4 249
 
5.6%
5 154
 
3.5%
6 137
 
3.1%
9 1
 
< 0.1%
0 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3026
68.4%
2 547
 
12.4%
3 309
 
7.0%
4 249
 
5.6%
5 154
 
3.5%
6 137
 
3.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
6 137
 
3.1%
5 154
 
3.5%
4 249
 
5.6%
3 309
 
7.0%
2 547
 
12.4%
1 3026
68.4%
0 1
 
< 0.1%

Course
Real number (ℝ)

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8991863
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:12.689821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median10
Q313
95-th percentile17
Maximum17
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.331792
Coefficient of variation (CV)0.43759071
Kurtosis-0.97894237
Mean9.8991863
Median Absolute Deviation (MAD)4
Skewness-0.18955741
Sum43794
Variance18.764422
MonotonicityNot monotonic
2024-07-15T08:42:13.260955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
12 766
17.3%
9 380
 
8.6%
10 355
 
8.0%
6 337
 
7.6%
15 331
 
7.5%
14 268
 
6.1%
17 268
 
6.1%
11 252
 
5.7%
5 226
 
5.1%
2 215
 
4.9%
Other values (7) 1026
23.2%
ValueCountFrequency (%)
1 12
 
0.3%
2 215
4.9%
3 215
4.9%
4 210
4.7%
5 226
5.1%
6 337
7.6%
7 170
3.8%
8 141
 
3.2%
9 380
8.6%
10 355
8.0%
ValueCountFrequency (%)
17 268
 
6.1%
16 192
 
4.3%
15 331
7.5%
14 268
 
6.1%
13 86
 
1.9%
12 766
17.3%
11 252
 
5.7%
10 355
8.0%
9 380
8.6%
8 141
 
3.2%

Daytime/evening attendance
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4424
Missing (%)100.0%
Memory size34.7 KiB

Previous qualification
Real number (ℝ)

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5314195
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:14.127996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile14
Maximum17
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.963707
Coefficient of variation (CV)1.565804
Kurtosis4.0716228
Mean2.5314195
Median Absolute Deviation (MAD)0
Skewness2.4059342
Sum11199
Variance15.710973
MonotonicityNot monotonic
2024-07-15T08:42:15.031299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 3717
84.0%
14 219
 
5.0%
12 162
 
3.7%
3 126
 
2.8%
9 45
 
1.0%
15 40
 
0.9%
16 36
 
0.8%
2 23
 
0.5%
6 16
 
0.4%
7 11
 
0.2%
Other values (7) 29
 
0.7%
ValueCountFrequency (%)
1 3717
84.0%
2 23
 
0.5%
3 126
 
2.8%
4 8
 
0.2%
5 1
 
< 0.1%
6 16
 
0.4%
7 11
 
0.2%
8 4
 
0.1%
9 45
 
1.0%
10 1
 
< 0.1%
ValueCountFrequency (%)
17 6
 
0.1%
16 36
 
0.8%
15 40
 
0.9%
14 219
5.0%
13 7
 
0.2%
12 162
3.7%
11 2
 
< 0.1%
10 1
 
< 0.1%
9 45
 
1.0%
8 4
 
0.1%

Previous qualification (grade)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4424
Missing (%)100.0%
Memory size34.7 KiB

Nacionality
Real number (ℝ)

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2545208
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:15.619625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum21
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7484472
Coefficient of variation (CV)1.3937172
Kurtosis54.039028
Mean1.2545208
Median Absolute Deviation (MAD)0
Skewness7.2827304
Sum5550
Variance3.0570675
MonotonicityNot monotonic
2024-07-15T08:42:16.308630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 4314
97.5%
14 38
 
0.9%
12 14
 
0.3%
9 13
 
0.3%
3 13
 
0.3%
10 5
 
0.1%
16 3
 
0.1%
4 3
 
0.1%
18 3
 
0.1%
8 2
 
< 0.1%
Other values (11) 16
 
0.4%
ValueCountFrequency (%)
1 4314
97.5%
2 2
 
< 0.1%
3 13
 
0.3%
4 3
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 13
 
0.3%
10 5
 
0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
20 1
 
< 0.1%
19 2
 
< 0.1%
18 3
 
0.1%
17 2
 
< 0.1%
16 3
 
0.1%
15 2
 
< 0.1%
14 38
0.9%
13 1
 
< 0.1%
12 14
 
0.3%

Mother's qualification
Real number (ℝ)

Distinct29
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.322107
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:17.140182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median13
Q322
95-th percentile23
Maximum29
Range28
Interquartile range (IQR)20

Descriptive statistics

Standard deviation9.026251
Coefficient of variation (CV)0.73252499
Kurtosis-1.6489553
Mean12.322107
Median Absolute Deviation (MAD)9
Skewness-0.097196955
Sum54513
Variance81.473208
MonotonicityNot monotonic
2024-07-15T08:42:17.808774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1069
24.2%
22 1009
22.8%
13 953
21.5%
23 562
12.7%
3 438
9.9%
19 130
 
2.9%
2 83
 
1.9%
4 49
 
1.1%
10 42
 
0.9%
5 21
 
0.5%
Other values (19) 68
 
1.5%
ValueCountFrequency (%)
1 1069
24.2%
2 83
 
1.9%
3 438
9.9%
4 49
 
1.1%
5 21
 
0.5%
6 4
 
0.1%
7 8
 
0.2%
8 3
 
0.1%
9 3
 
0.1%
10 42
 
0.9%
ValueCountFrequency (%)
29 1
 
< 0.1%
28 4
 
0.1%
27 4
 
0.1%
26 6
 
0.1%
25 9
 
0.2%
24 8
 
0.2%
23 562
12.7%
22 1009
22.8%
21 3
 
0.1%
20 3
 
0.1%

Father's qualification
Real number (ℝ)

Distinct34
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.455244
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:18.400043image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median14
Q327
95-th percentile28
Maximum34
Range33
Interquartile range (IQR)24

Descriptive statistics

Standard deviation11.0448
Coefficient of variation (CV)0.67120241
Kurtosis-1.5693844
Mean16.455244
Median Absolute Deviation (MAD)13
Skewness-0.29173981
Sum72798
Variance121.9876
MonotonicityNot monotonic
2024-07-15T08:42:19.265906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
27 1209
27.3%
14 968
21.9%
1 904
20.4%
28 702
15.9%
3 282
 
6.4%
24 112
 
2.5%
2 68
 
1.5%
4 39
 
0.9%
10 38
 
0.9%
29 20
 
0.5%
Other values (24) 82
 
1.9%
ValueCountFrequency (%)
1 904
20.4%
2 68
 
1.5%
3 282
 
6.4%
4 39
 
0.9%
5 18
 
0.4%
6 2
 
< 0.1%
7 5
 
0.1%
8 2
 
< 0.1%
9 10
 
0.2%
10 38
 
0.9%
ValueCountFrequency (%)
34 1
 
< 0.1%
33 2
 
< 0.1%
32 1
 
< 0.1%
31 2
 
< 0.1%
30 5
 
0.1%
29 20
 
0.5%
28 702
15.9%
27 1209
27.3%
26 8
 
0.2%
25 2
 
< 0.1%

Mother's occupation
Real number (ℝ)

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3178119
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:20.403161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q310
95-th percentile10
Maximum32
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9978277
Coefficient of variation (CV)0.54631463
Kurtosis10.735132
Mean7.3178119
Median Absolute Deviation (MAD)3
Skewness2.2312275
Sum32374
Variance15.982626
MonotonicityNot monotonic
2024-07-15T08:42:21.372390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
10 1577
35.6%
5 817
18.5%
6 530
 
12.0%
4 351
 
7.9%
3 318
 
7.2%
8 272
 
6.1%
1 144
 
3.3%
2 102
 
2.3%
7 91
 
2.1%
12 70
 
1.6%
Other values (22) 152
 
3.4%
ValueCountFrequency (%)
1 144
 
3.3%
2 102
 
2.3%
3 318
 
7.2%
4 351
 
7.9%
5 817
18.5%
6 530
 
12.0%
7 91
 
2.1%
8 272
 
6.1%
9 36
 
0.8%
10 1577
35.6%
ValueCountFrequency (%)
32 11
0.2%
31 4
 
0.1%
30 5
 
0.1%
29 26
0.6%
28 5
 
0.1%
27 1
 
< 0.1%
26 1
 
< 0.1%
25 2
 
< 0.1%
24 2
 
< 0.1%
23 3
 
0.1%

Father's occupation
Real number (ℝ)

Distinct46
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8191682
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:22.254575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q310
95-th percentile11
Maximum46
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8566923
Coefficient of variation (CV)0.62112646
Kurtosis25.645233
Mean7.8191682
Median Absolute Deviation (MAD)2
Skewness4.0584067
Sum34592
Variance23.58746
MonotonicityNot monotonic
2024-07-15T08:42:23.472293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 1010
22.8%
8 666
15.1%
6 516
11.7%
5 386
 
8.7%
4 384
 
8.7%
9 318
 
7.2%
11 266
 
6.0%
7 242
 
5.5%
3 197
 
4.5%
2 134
 
3.0%
Other values (36) 305
 
6.9%
ValueCountFrequency (%)
1 128
 
2.9%
2 134
 
3.0%
3 197
 
4.5%
4 384
 
8.7%
5 386
 
8.7%
6 516
11.7%
7 242
 
5.5%
8 666
15.1%
9 318
 
7.2%
10 1010
22.8%
ValueCountFrequency (%)
46 1
 
< 0.1%
45 2
 
< 0.1%
44 15
0.3%
43 6
 
0.1%
42 3
 
0.1%
41 2
 
< 0.1%
40 3
 
0.1%
39 4
 
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%

Admission grade
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4424
Missing (%)100.0%
Memory size34.7 KiB

Displaced
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
1
2426 
0
1998 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 2426
54.8%
0 1998
45.2%

Length

2024-07-15T08:42:24.203546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:25.098407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1 2426
54.8%
0 1998
45.2%

Most occurring characters

ValueCountFrequency (%)
1 2426
54.8%
0 1998
45.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 2426
54.8%
0 1998
45.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 2426
54.8%
0 1998
45.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 2426
54.8%
0 1998
45.2%

Educational special needs
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
0
4373 
1
 
51

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4373
98.8%
1 51
 
1.2%

Length

2024-07-15T08:42:25.614085image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:26.081241image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 4373
98.8%
1 51
 
1.2%

Most occurring characters

ValueCountFrequency (%)
0 4373
98.8%
1 51
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 4373
98.8%
1 51
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 4373
98.8%
1 51
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 4373
98.8%
1 51
 
1.2%

Debtor
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
0
3921 
1
503 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3921
88.6%
1 503
 
11.4%

Length

2024-07-15T08:42:26.749607image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:27.586391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 3921
88.6%
1 503
 
11.4%

Most occurring characters

ValueCountFrequency (%)
0 3921
88.6%
1 503
 
11.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3921
88.6%
1 503
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3921
88.6%
1 503
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3921
88.6%
1 503
 
11.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
1
3896 
0
528 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3896
88.1%
0 528
 
11.9%

Length

2024-07-15T08:42:28.409964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:29.914113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1 3896
88.1%
0 528
 
11.9%

Most occurring characters

ValueCountFrequency (%)
1 3896
88.1%
0 528
 
11.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 3896
88.1%
0 528
 
11.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 3896
88.1%
0 528
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 3896
88.1%
0 528
 
11.9%

Gender
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
0
2868 
1
1556 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2868
64.8%
1 1556
35.2%

Length

2024-07-15T08:42:30.762220image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:31.256326image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 2868
64.8%
1 1556
35.2%

Most occurring characters

ValueCountFrequency (%)
0 2868
64.8%
1 1556
35.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2868
64.8%
1 1556
35.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2868
64.8%
1 1556
35.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2868
64.8%
1 1556
35.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
0
3325 
1
1099 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3325
75.2%
1 1099
 
24.8%

Length

2024-07-15T08:42:31.758980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:32.266468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 3325
75.2%
1 1099
 
24.8%

Most occurring characters

ValueCountFrequency (%)
0 3325
75.2%
1 1099
 
24.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3325
75.2%
1 1099
 
24.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3325
75.2%
1 1099
 
24.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3325
75.2%
1 1099
 
24.8%

Age at enrollment
Real number (ℝ)

Distinct46
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.265145
Minimum17
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:32.953003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile18
Q119
median20
Q325
95-th percentile41
Maximum70
Range53
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.5878156
Coefficient of variation (CV)0.32614522
Kurtosis4.1268918
Mean23.265145
Median Absolute Deviation (MAD)2
Skewness2.0549884
Sum102925
Variance57.574946
MonotonicityNot monotonic
2024-07-15T08:42:33.887617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
18 1036
23.4%
19 911
20.6%
20 599
13.5%
21 322
 
7.3%
22 174
 
3.9%
24 131
 
3.0%
23 108
 
2.4%
26 94
 
2.1%
25 93
 
2.1%
27 91
 
2.1%
Other values (36) 865
19.6%
ValueCountFrequency (%)
17 5
 
0.1%
18 1036
23.4%
19 911
20.6%
20 599
13.5%
21 322
 
7.3%
22 174
 
3.9%
23 108
 
2.4%
24 131
 
3.0%
25 93
 
2.1%
26 94
 
2.1%
ValueCountFrequency (%)
70 1
 
< 0.1%
62 1
 
< 0.1%
61 1
 
< 0.1%
60 2
 
< 0.1%
59 3
0.1%
58 3
0.1%
57 2
 
< 0.1%
55 5
0.1%
54 7
0.2%
53 7
0.2%

International
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
0
4314 
1
 
110

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4314
97.5%
1 110
 
2.5%

Length

2024-07-15T08:42:35.274476image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:35.821023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 4314
97.5%
1 110
 
2.5%

Most occurring characters

ValueCountFrequency (%)
0 4314
97.5%
1 110
 
2.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 4314
97.5%
1 110
 
2.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 4314
97.5%
1 110
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 4314
97.5%
1 110
 
2.5%

Curricular units 1st sem (credited)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70999096
Minimum0
Maximum20
Zeros3847
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:36.377060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3605066
Coefficient of variation (CV)3.3246995
Kurtosis19.205727
Mean0.70999096
Median Absolute Deviation (MAD)0
Skewness4.1690488
Sum3141
Variance5.5719915
MonotonicityNot monotonic
2024-07-15T08:42:37.234044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3847
87.0%
2 94
 
2.1%
1 85
 
1.9%
3 69
 
1.6%
6 51
 
1.2%
4 47
 
1.1%
7 41
 
0.9%
5 41
 
0.9%
8 31
 
0.7%
9 27
 
0.6%
Other values (11) 91
 
2.1%
ValueCountFrequency (%)
0 3847
87.0%
1 85
 
1.9%
2 94
 
2.1%
3 69
 
1.6%
4 47
 
1.1%
5 41
 
0.9%
6 51
 
1.2%
7 41
 
0.9%
8 31
 
0.7%
9 27
 
0.6%
ValueCountFrequency (%)
20 2
 
< 0.1%
19 2
 
< 0.1%
18 4
 
0.1%
17 3
 
0.1%
16 3
 
0.1%
15 5
 
0.1%
14 15
0.3%
13 13
0.3%
12 12
0.3%
11 17
0.4%

Curricular units 1st sem (enrolled)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2705696
Minimum0
Maximum26
Zeros180
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:38.476573image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median6
Q37
95-th percentile11
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4801782
Coefficient of variation (CV)0.39552677
Kurtosis8.9379154
Mean6.2705696
Median Absolute Deviation (MAD)1
Skewness1.6190409
Sum27741
Variance6.1512838
MonotonicityNot monotonic
2024-07-15T08:42:39.092830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 1910
43.2%
5 1010
22.8%
7 656
 
14.8%
8 296
 
6.7%
0 180
 
4.1%
12 66
 
1.5%
10 52
 
1.2%
11 45
 
1.0%
9 36
 
0.8%
15 25
 
0.6%
Other values (13) 148
 
3.3%
ValueCountFrequency (%)
0 180
 
4.1%
1 7
 
0.2%
2 9
 
0.2%
3 10
 
0.2%
4 21
 
0.5%
5 1010
22.8%
6 1910
43.2%
7 656
 
14.8%
8 296
 
6.7%
9 36
 
0.8%
ValueCountFrequency (%)
26 1
 
< 0.1%
23 2
 
< 0.1%
21 6
 
0.1%
19 2
 
< 0.1%
18 19
0.4%
17 16
0.4%
16 13
0.3%
15 25
0.6%
14 22
0.5%
13 20
0.5%
Distinct35
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2990506
Minimum0
Maximum45
Zeros349
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:39.829570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q310
95-th percentile15
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.1791056
Coefficient of variation (CV)0.50356429
Kurtosis5.4630252
Mean8.2990506
Median Absolute Deviation (MAD)2
Skewness0.9766367
Sum36715
Variance17.464923
MonotonicityNot monotonic
2024-07-15T08:42:40.419143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8 791
17.9%
7 703
15.9%
6 598
13.5%
9 402
9.1%
0 349
7.9%
10 340
7.7%
11 239
 
5.4%
12 223
 
5.0%
5 220
 
5.0%
13 140
 
3.2%
Other values (25) 419
9.5%
ValueCountFrequency (%)
0 349
7.9%
1 6
 
0.1%
2 8
 
0.2%
3 6
 
0.1%
4 19
 
0.4%
5 220
 
5.0%
6 598
13.5%
7 703
15.9%
8 791
17.9%
9 402
9.1%
ValueCountFrequency (%)
45 2
< 0.1%
36 1
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
29 2
< 0.1%
28 1
 
< 0.1%
27 2
< 0.1%
26 4
0.1%
25 3
0.1%

Curricular units 1st sem (approved)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7066004
Minimum0
Maximum26
Zeros718
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:40.966033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q36
95-th percentile9
Maximum26
Range26
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.094238
Coefficient of variation (CV)0.65742526
Kurtosis3.0966799
Mean4.7066004
Median Absolute Deviation (MAD)1
Skewness0.7662624
Sum20822
Variance9.5743087
MonotonicityNot monotonic
2024-07-15T08:42:41.511386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 1171
26.5%
5 723
16.3%
0 718
16.2%
7 471
10.6%
4 433
 
9.8%
3 269
 
6.1%
2 160
 
3.6%
1 127
 
2.9%
8 108
 
2.4%
11 49
 
1.1%
Other values (13) 195
 
4.4%
ValueCountFrequency (%)
0 718
16.2%
1 127
 
2.9%
2 160
 
3.6%
3 269
 
6.1%
4 433
 
9.8%
5 723
16.3%
6 1171
26.5%
7 471
10.6%
8 108
 
2.4%
9 40
 
0.9%
ValueCountFrequency (%)
26 1
 
< 0.1%
21 4
 
0.1%
20 3
 
0.1%
19 2
 
< 0.1%
18 15
0.3%
17 10
 
0.2%
16 5
 
0.1%
15 7
 
0.2%
14 14
0.3%
13 26
0.6%

Curricular units 1st sem (grade)
Real number (ℝ)

ZEROS 

Distinct805
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.640822
Minimum0
Maximum18.875
Zeros718
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:42.120905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median12.285714
Q313.4
95-th percentile14.857143
Maximum18.875
Range18.875
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation4.8436634
Coefficient of variation (CV)0.45519637
Kurtosis0.90846103
Mean10.640822
Median Absolute Deviation (MAD)1.1571429
Skewness-1.5681456
Sum47074.995
Variance23.461075
MonotonicityNot monotonic
2024-07-15T08:42:42.864448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 718
 
16.2%
12 205
 
4.6%
13 147
 
3.3%
11 138
 
3.1%
11.5 89
 
2.0%
14 85
 
1.9%
12.5 84
 
1.9%
10 82
 
1.9%
12.66666667 82
 
1.9%
12.33333333 82
 
1.9%
Other values (795) 2712
61.3%
ValueCountFrequency (%)
0 718
16.2%
9.8 1
 
< 0.1%
10 82
 
1.9%
10.16666667 1
 
< 0.1%
10.2 8
 
0.2%
10.21428571 1
 
< 0.1%
10.25 7
 
0.2%
10.28571429 1
 
< 0.1%
10.33333333 16
 
0.4%
10.36842105 1
 
< 0.1%
ValueCountFrequency (%)
18.875 1
 
< 0.1%
18 2
 
< 0.1%
17.33333333 2
 
< 0.1%
17.125 1
 
< 0.1%
17.11111111 1
 
< 0.1%
17.00555556 1
 
< 0.1%
17 5
0.1%
16.9 1
 
< 0.1%
16.88571429 1
 
< 0.1%
16.85714286 1
 
< 0.1%
Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13765823
Minimum0
Maximum12
Zeros4130
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:43.446261image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.69088018
Coefficient of variation (CV)5.0188078
Kurtosis89.863208
Mean0.13765823
Median Absolute Deviation (MAD)0
Skewness8.2074031
Sum609
Variance0.47731543
MonotonicityNot monotonic
2024-07-15T08:42:43.968300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 4130
93.4%
1 153
 
3.5%
2 79
 
1.8%
3 23
 
0.5%
4 15
 
0.3%
6 6
 
0.1%
7 6
 
0.1%
5 5
 
0.1%
8 4
 
0.1%
12 2
 
< 0.1%
ValueCountFrequency (%)
0 4130
93.4%
1 153
 
3.5%
2 79
 
1.8%
3 23
 
0.5%
4 15
 
0.3%
5 5
 
0.1%
6 6
 
0.1%
7 6
 
0.1%
8 4
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
12 2
 
< 0.1%
10 1
 
< 0.1%
8 4
 
0.1%
7 6
 
0.1%
6 6
 
0.1%
5 5
 
0.1%
4 15
 
0.3%
3 23
 
0.5%
2 79
1.8%
1 153
3.5%

Curricular units 2nd sem (credited)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54181736
Minimum0
Maximum19
Zeros3894
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:44.470375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9185461
Coefficient of variation (CV)3.5409462
Kurtosis24.427266
Mean0.54181736
Median Absolute Deviation (MAD)0
Skewness4.6348195
Sum2397
Variance3.6808193
MonotonicityNot monotonic
2024-07-15T08:42:45.036019image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3894
88.0%
1 107
 
2.4%
2 92
 
2.1%
4 78
 
1.8%
5 68
 
1.5%
3 49
 
1.1%
6 26
 
0.6%
11 20
 
0.5%
7 16
 
0.4%
9 15
 
0.3%
Other values (9) 59
 
1.3%
ValueCountFrequency (%)
0 3894
88.0%
1 107
 
2.4%
2 92
 
2.1%
3 49
 
1.1%
4 78
 
1.8%
5 68
 
1.5%
6 26
 
0.6%
7 16
 
0.4%
8 12
 
0.3%
9 15
 
0.3%
ValueCountFrequency (%)
19 1
 
< 0.1%
18 2
 
< 0.1%
16 2
 
< 0.1%
15 2
 
< 0.1%
14 4
 
0.1%
13 9
0.2%
12 14
0.3%
11 20
0.5%
10 13
0.3%
9 15
0.3%

Curricular units 2nd sem (enrolled)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2321429
Minimum0
Maximum23
Zeros180
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:45.577887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q15
median6
Q37
95-th percentile10
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1959508
Coefficient of variation (CV)0.35235886
Kurtosis7.13474
Mean6.2321429
Median Absolute Deviation (MAD)1
Skewness0.7881135
Sum27571
Variance4.8221997
MonotonicityNot monotonic
2024-07-15T08:42:46.163450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6 1913
43.2%
5 1054
23.8%
8 661
 
14.9%
7 304
 
6.9%
0 180
 
4.1%
11 60
 
1.4%
9 50
 
1.1%
10 48
 
1.1%
12 44
 
1.0%
13 37
 
0.8%
Other values (12) 73
 
1.7%
ValueCountFrequency (%)
0 180
 
4.1%
1 3
 
0.1%
2 5
 
0.1%
3 3
 
0.1%
4 17
 
0.4%
5 1054
23.8%
6 1913
43.2%
7 304
 
6.9%
8 661
 
14.9%
9 50
 
1.1%
ValueCountFrequency (%)
23 2
 
< 0.1%
21 1
 
< 0.1%
19 3
 
0.1%
18 2
 
< 0.1%
17 12
 
0.3%
16 1
 
< 0.1%
15 2
 
< 0.1%
14 22
0.5%
13 37
0.8%
12 44
1.0%
Distinct30
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0632911
Minimum0
Maximum33
Zeros401
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:46.731612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q310
95-th percentile15
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.9479509
Coefficient of variation (CV)0.48962029
Kurtosis2.0682859
Mean8.0632911
Median Absolute Deviation (MAD)2
Skewness0.33649718
Sum35672
Variance15.586317
MonotonicityNot monotonic
2024-07-15T08:42:47.356045image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8 792
17.9%
6 614
13.9%
7 563
12.7%
9 456
10.3%
0 401
9.1%
10 355
8.0%
5 288
 
6.5%
11 255
 
5.8%
12 226
 
5.1%
13 126
 
2.8%
Other values (20) 348
7.9%
ValueCountFrequency (%)
0 401
9.1%
1 3
 
0.1%
2 4
 
0.1%
3 2
 
< 0.1%
4 10
 
0.2%
5 288
 
6.5%
6 614
13.9%
7 563
12.7%
8 792
17.9%
9 456
10.3%
ValueCountFrequency (%)
33 1
 
< 0.1%
28 1
 
< 0.1%
27 2
 
< 0.1%
26 3
 
0.1%
25 1
 
< 0.1%
24 3
 
0.1%
23 4
 
0.1%
22 10
0.2%
21 10
0.2%
20 8
0.2%

Curricular units 2nd sem (approved)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4358047
Minimum0
Maximum20
Zeros870
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:48.075454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q36
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0147639
Coefficient of variation (CV)0.67964306
Kurtosis0.84504466
Mean4.4358047
Median Absolute Deviation (MAD)2
Skewness0.30627938
Sum19624
Variance9.0888014
MonotonicityNot monotonic
2024-07-15T08:42:48.661854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6 965
21.8%
0 870
19.7%
5 726
16.4%
4 414
9.4%
7 331
 
7.5%
8 321
 
7.3%
3 285
 
6.4%
2 198
 
4.5%
1 114
 
2.6%
11 48
 
1.1%
Other values (10) 152
 
3.4%
ValueCountFrequency (%)
0 870
19.7%
1 114
 
2.6%
2 198
 
4.5%
3 285
 
6.4%
4 414
9.4%
5 726
16.4%
6 965
21.8%
7 331
 
7.5%
8 321
 
7.3%
9 36
 
0.8%
ValueCountFrequency (%)
20 2
 
< 0.1%
19 3
 
0.1%
18 2
 
< 0.1%
17 8
 
0.2%
16 2
 
< 0.1%
14 6
 
0.1%
13 21
0.5%
12 34
0.8%
11 48
1.1%
10 38
0.9%

Curricular units 2nd sem (grade)
Real number (ℝ)

ZEROS 

Distinct786
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.230206
Minimum0
Maximum18.571429
Zeros870
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:49.279707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.75
median12.2
Q313.333333
95-th percentile14.980262
Maximum18.571429
Range18.571429
Interquartile range (IQR)2.5833333

Descriptive statistics

Standard deviation5.210808
Coefficient of variation (CV)0.50935515
Kurtosis0.066567351
Mean10.230206
Median Absolute Deviation (MAD)1.2
Skewness-1.3136502
Sum45258.43
Variance27.15252
MonotonicityNot monotonic
2024-07-15T08:42:49.922333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 870
 
19.7%
12 170
 
3.8%
11 165
 
3.7%
13 150
 
3.4%
11.5 86
 
1.9%
12.5 84
 
1.9%
14 77
 
1.7%
10 77
 
1.7%
13.5 65
 
1.5%
12.66666667 61
 
1.4%
Other values (776) 2619
59.2%
ValueCountFrequency (%)
0 870
19.7%
10 77
 
1.7%
10.16666667 4
 
0.1%
10.2 4
 
0.1%
10.25 10
 
0.2%
10.33333333 19
 
0.4%
10.375 1
 
< 0.1%
10.4 8
 
0.2%
10.42857143 2
 
< 0.1%
10.44444444 2
 
< 0.1%
ValueCountFrequency (%)
18.57142857 1
< 0.1%
17.71428571 1
< 0.1%
17.69230769 1
< 0.1%
17.6 2
< 0.1%
17.5875 1
< 0.1%
17.42857143 1
< 0.1%
17.16666667 1
< 0.1%
17 2
< 0.1%
16.90909091 1
< 0.1%
16.8 2
< 0.1%
Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15031646
Minimum0
Maximum12
Zeros4142
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:50.541715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75377407
Coefficient of variation (CV)5.0145812
Kurtosis66.811692
Mean0.15031646
Median Absolute Deviation (MAD)0
Skewness7.2677009
Sum665
Variance0.56817535
MonotonicityNot monotonic
2024-07-15T08:42:51.124521image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 4142
93.6%
1 140
 
3.2%
2 48
 
1.1%
3 35
 
0.8%
4 21
 
0.5%
5 17
 
0.4%
6 8
 
0.2%
8 6
 
0.1%
7 5
 
0.1%
12 2
 
< 0.1%
ValueCountFrequency (%)
0 4142
93.6%
1 140
 
3.2%
2 48
 
1.1%
3 35
 
0.8%
4 21
 
0.5%
5 17
 
0.4%
6 8
 
0.2%
7 5
 
0.1%
8 6
 
0.1%
12 2
 
< 0.1%
ValueCountFrequency (%)
12 2
 
< 0.1%
8 6
 
0.1%
7 5
 
0.1%
6 8
 
0.2%
5 17
 
0.4%
4 21
 
0.5%
3 35
 
0.8%
2 48
 
1.1%
1 140
 
3.2%
0 4142
93.6%

Unemployment rate
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.566139
Minimum7.6
Maximum16.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2024-07-15T08:42:51.671176image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile7.6
Q19.4
median11.1
Q313.9
95-th percentile16.2
Maximum16.2
Range8.6
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.6638505
Coefficient of variation (CV)0.23031458
Kurtosis-0.99552591
Mean11.566139
Median Absolute Deviation (MAD)1.7
Skewness0.21205105
Sum51168.6
Variance7.0960994
MonotonicityNot monotonic
2024-07-15T08:42:52.264398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7.6 571
12.9%
9.4 533
12.0%
10.8 525
11.9%
12.4 445
10.1%
12.7 419
9.5%
11.1 414
9.4%
15.5 397
9.0%
13.9 390
8.8%
8.9 368
8.3%
16.2 362
8.2%
ValueCountFrequency (%)
7.6 571
12.9%
8.9 368
8.3%
9.4 533
12.0%
10.8 525
11.9%
11.1 414
9.4%
12.4 445
10.1%
12.7 419
9.5%
13.9 390
8.8%
15.5 397
9.0%
16.2 362
8.2%
ValueCountFrequency (%)
16.2 362
8.2%
15.5 397
9.0%
13.9 390
8.8%
12.7 419
9.5%
12.4 445
10.1%
11.1 414
9.4%
10.8 525
11.9%
9.4 533
12.0%
8.9 368
8.3%
7.6 571
12.9%

Inflation rate
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2280289
Minimum-0.8
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative923
Negative (%)20.9%
Memory size34.7 KiB
2024-07-15T08:42:52.834551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8
5-th percentile-0.8
Q10.3
median1.4
Q32.6
95-th percentile3.7
Maximum3.7
Range4.5
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.3827107
Coefficient of variation (CV)1.1259594
Kurtosis-1.0390334
Mean1.2280289
Median Absolute Deviation (MAD)1.2
Skewness0.25237535
Sum5432.8
Variance1.9118889
MonotonicityNot monotonic
2024-07-15T08:42:53.376897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.4 893
20.2%
2.6 571
12.9%
-0.8 533
12.0%
0.5 445
10.1%
3.7 419
9.5%
0.6 414
9.4%
2.8 397
9.0%
-0.3 390
8.8%
0.3 362
8.2%
ValueCountFrequency (%)
-0.8 533
12.0%
-0.3 390
8.8%
0.3 362
8.2%
0.5 445
10.1%
0.6 414
9.4%
1.4 893
20.2%
2.6 571
12.9%
2.8 397
9.0%
3.7 419
9.5%
ValueCountFrequency (%)
3.7 419
9.5%
2.8 397
9.0%
2.6 571
12.9%
1.4 893
20.2%
0.6 414
9.4%
0.5 445
10.1%
0.3 362
8.2%
-0.3 390
8.8%
-0.8 533
12.0%

GDP
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0019688065
Minimum-4.06
Maximum3.51
Zeros0
Zeros (%)0.0%
Negative1711
Negative (%)38.7%
Memory size34.7 KiB
2024-07-15T08:42:53.899810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-4.06
5-th percentile-4.06
Q1-1.7
median0.32
Q31.79
95-th percentile3.51
Maximum3.51
Range7.57
Interquartile range (IQR)3.49

Descriptive statistics

Standard deviation2.2699354
Coefficient of variation (CV)1152.95
Kurtosis-1.0016532
Mean0.0019688065
Median Absolute Deviation (MAD)1.47
Skewness-0.39406821
Sum8.71
Variance5.1526069
MonotonicityNot monotonic
2024-07-15T08:42:54.472475image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.32 571
12.9%
-3.12 533
12.0%
1.74 525
11.9%
1.79 445
10.1%
-1.7 419
9.5%
2.02 414
9.4%
-4.06 397
9.0%
0.79 390
8.8%
3.51 368
8.3%
-0.92 362
8.2%
ValueCountFrequency (%)
-4.06 397
9.0%
-3.12 533
12.0%
-1.7 419
9.5%
-0.92 362
8.2%
0.32 571
12.9%
0.79 390
8.8%
1.74 525
11.9%
1.79 445
10.1%
2.02 414
9.4%
3.51 368
8.3%
ValueCountFrequency (%)
3.51 368
8.3%
2.02 414
9.4%
1.79 445
10.1%
1.74 525
11.9%
0.79 390
8.8%
0.32 571
12.9%
-0.92 362
8.2%
-1.7 419
9.5%
-3.12 533
12.0%
-4.06 397
9.0%

Target
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.7 KiB
Graduate
2209 
Dropout
1421 
Enrolled
794 

Length

Max length8
Median length8
Mean length7.6787975
Min length7

Characters and Unicode

Total characters33971
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDropout
2nd rowGraduate
3rd rowDropout
4th rowGraduate
5th rowGraduate

Common Values

ValueCountFrequency (%)
Graduate 2209
49.9%
Dropout 1421
32.1%
Enrolled 794
 
17.9%

Length

2024-07-15T08:42:55.105576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-15T08:42:55.605546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
graduate 2209
49.9%
dropout 1421
32.1%
enrolled 794
 
17.9%

Most occurring characters

ValueCountFrequency (%)
r 4424
13.0%
a 4418
13.0%
o 3636
10.7%
u 3630
10.7%
t 3630
10.7%
d 3003
8.8%
e 3003
8.8%
G 2209
6.5%
l 1588
 
4.7%
D 1421
 
4.2%
Other values (3) 3009
8.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 33971
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 4424
13.0%
a 4418
13.0%
o 3636
10.7%
u 3630
10.7%
t 3630
10.7%
d 3003
8.8%
e 3003
8.8%
G 2209
6.5%
l 1588
 
4.7%
D 1421
 
4.2%
Other values (3) 3009
8.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 33971
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 4424
13.0%
a 4418
13.0%
o 3636
10.7%
u 3630
10.7%
t 3630
10.7%
d 3003
8.8%
e 3003
8.8%
G 2209
6.5%
l 1588
 
4.7%
D 1421
 
4.2%
Other values (3) 3009
8.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 33971
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 4424
13.0%
a 4418
13.0%
o 3636
10.7%
u 3630
10.7%
t 3630
10.7%
d 3003
8.8%
e 3003
8.8%
G 2209
6.5%
l 1588
 
4.7%
D 1421
 
4.2%
Other values (3) 3009
8.9%

Interactions

2024-07-15T08:41:41.132037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:13.473656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:22.697327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-07-15T08:35:41.899849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-07-15T08:35:31.222843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:40.852020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:52.234843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:03.278396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:17.411819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:30.458523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:45.622014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:58.814841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:37:15.435760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:37:45.144907image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:38:16.537473image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:38:42.518302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:07.785338image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:23.280214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:37.173519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:51.858920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:05.929162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:17.957040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:33.180071image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:46.302852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:58.229691image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:11.236357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:24.476680image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:39.754447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:55.916111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:22.002537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:31.527730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:41.188003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:52.560857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:03.747459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:18.058986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:30.880202image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:46.229645image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:59.296472image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:37:16.242117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:37:46.184940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:38:17.016743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:38:42.980535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:08.325535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:23.682415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:37.601731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:52.305086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:06.374251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:18.522960image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:33.750531image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:46.764308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:58.634631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:11.634277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:25.050066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:40.157457image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:56.924191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:22.348226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:31.890247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:41.513258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:35:52.902554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:04.278411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:18.517851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:31.556325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:46.903729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:36:59.785477image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:37:17.091036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:37:47.862500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:38:17.582752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:38:43.424175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:08.843435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:24.114643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:38.129060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:39:52.774881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:06.864227image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:19.420062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:34.436657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:47.149192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:40:59.036894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:12.063895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:25.514566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-07-15T08:41:40.521482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Missing values

2024-07-15T08:41:59.655159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-15T08:42:05.092846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)NacionalityMother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedEducational special needsDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentInternationalCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
01852NaN1NaN11310610NaN10011020000000.000000000000.000000010.81.41.74Dropout
116111NaN1NaN11344NaN100010190066614.0000000066613.666667013.9-0.30.79Graduate
21155NaN1NaN122271010NaN10001019006000.000000006000.000000010.81.41.74Dropout
318215NaN1NaN1232764NaN100100200068613.42857100610512.40000009.4-0.8-3.12Graduate
421213NaN1NaN122281010NaN000100450069512.3333330066613.000000013.9-0.30.79Graduate
5212117NaN12NaN12227108NaN0011105000510511.85714300517511.500000516.20.3-0.92Graduate
611112NaN1NaN11328811NaN100101180079713.3000000088814.345000015.52.8-4.06Graduate
719411NaN1NaN122271010NaN10001022005500.000000005500.000000015.52.8-4.06Dropout
811310NaN1NaN15111010NaN000101211068613.8750000067614.142857016.20.3-0.92Graduate
911110NaN1NaN111458NaN101000180069511.40000000614213.50000008.91.43.51Dropout
Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)NacionalityMother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedEducational special needsDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentInternationalCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
44141118NaN1NaN132846NaN100100180056511.8000001058511.60000009.4-0.8-3.12Graduate
4415412112NaN12NaN1222777NaN0010004600714312.33333300712311.083333011.10.62.02Dropout
4416114212NaN1NaN12328106NaN0001002301114151212.62500011114151212.62500017.62.60.32Graduate
44171115NaN1NaN1111010NaN100101200066613.8333330066613.500000016.20.3-0.92Graduate
441811515NaN14NaN1328410NaN000110200277612.50000005910713.142857116.20.3-0.92Graduate
441911615NaN1NaN11165NaN000110190067513.6000000068512.666667015.52.8-4.06Graduate
442011215NaN1NaN19111010NaN101000181066612.0000000066211.000000011.10.62.02Dropout
442111112NaN1NaN122271010NaN100101300078714.9125000089113.500000013.9-0.30.79Dropout
44221119NaN1NaN1222785NaN100101200055513.8000000056512.00000009.4-0.8-3.12Graduate
442315115NaN1NaN92327610NaN100100221068611.6666670066613.000000012.73.7-1.70Graduate